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ETS Exposure of a mid-size vessel
From Emissions to Operational Intelligence
EYE-Q System: Maritime Physical AI Infrastructure
EYE-Q is Emission-Eyeโs retrofit-ready maritime Physical AI system, designed to transform existing commercial vessels into intelligent, connected ships.
Combining wireless IoT sensor networks, marine-specific AI, and vessel-specific digital twins, EYE-Q enables direct emissions monitoring, real-time operational intelligence, predictive maintenance, and data-driven optimization.Designed for shipowners, fleet operators, and maritime technology partners, EYE-Q provides a scalable foundation for smarter shipping without requiring complete replacement of existing onboard infrastructure.

Frequently Asked Questions About EYE-Q
What is the EYE-Q System?
EYE-Q is a maritime Physical AI system developed by Emission-Eye Oy. It combines wireless IoT sensor networks, marine-specific AI, and vessel-specific digital twins to enable emissions monitoring, operational intelligence, predictive maintenance, and data-driven optimization.
Can EYE-Q be installed on existing commercial vessels?
Yes. EYE-Q is designed as a retrofit-ready system for existing commercial vessels, reducing the need to replace onboard infrastructure. Its modular architecture supports integration with existing vessel systems and additional wireless monitoring nodes.
How does EYE-Q support smarter and more efficient shipping?
EYE-Q collects operational and environmental data to provide vessel-specific intelligence. Its AI and digital twin capabilities are designed to help operators identify inefficiencies, monitor emissions, support maintenance decisions, and optimize vessel performance.
How does EYE-Q help reduce fuel consumption and emissions?
EYE-Q combines direct emissions measurements, vessel-specific digital twins, and marine-specific AI to identify inefficiencies, optimize vessel operations, and help reduce fuel consumption and emissions.
How is EYE-Q designed to scale across commercial shipping fleets?
Designed from the outset to scale to 10,000 ships, EYE-Q combines modular wireless IoT networks with onboard edge AI. Its architecture minimizes cloud data transfers, enables ultra-low-latency intelligence, and supports cost-efficient deployment across entire fleets without replacing existing infrastructure.

















